{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cx_Oracle as oracle\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.dates import AutoDateLocator, DateFormatter \n",
    "import numpy as np\n",
    "import math\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats  \n",
    "import scipy\n",
    "import scipy.cluster.vq\n",
    "import scipy.spatial.distance\n",
    "EuclDist = scipy.spatial.distance.euclidean\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from factor_analyzer import FactorAnalyzer\n",
    "import importlib\n",
    "from sklearn import metrics,datasets,manifold\n",
    "import copy\n",
    "from sklearn import tree\n",
    "import graphviz\n",
    "import pydotplus\n",
    "from six import StringIO\n",
    "import os\n",
    "from IPython.display import Image\n",
    "from pandasql import sqldf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Commuting Vehicles Travel Features\n",
    "\n",
    "I will analyse all the commuting vehicle's traveling features, namely 9 features that i got before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "database connected\n",
      "database close\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙A837YS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙AR911W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙AKB603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙A0PG35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙A739B1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM\n",
       "0  浙A837YS\n",
       "1  浙AR911W\n",
       "2  浙AKB603\n",
       "3  浙A0PG35\n",
       "4  浙A739B1"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#该函数用来得到oracle中的通勤车的各个features.\n",
    "db = oracle.connect('')    # connect oracle database\n",
    "print(\"database connected\")\n",
    "cursor = db.cursor()    # create cursor\n",
    "cursor.execute('''\n",
    "                select *\n",
    "                from COMMUTINGVEHICLE\n",
    "                ''')    # execute sql \n",
    "data = cursor.fetchall()    # fetch data\n",
    "df_com = pd.DataFrame(data)\n",
    "#change columns' name\n",
    "df_com.rename(columns={0:'CAR_NUM'}, inplace = True)\n",
    "\n",
    "#print(df)\n",
    "cursor.close()   #close the curse\n",
    "db.close()   #close the database\n",
    "print(\"database close\")\n",
    "df_com.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "      <th>F1</th>\n",
       "      <th>F2</th>\n",
       "      <th>O1</th>\n",
       "      <th>D1</th>\n",
       "      <th>O2</th>\n",
       "      <th>D2</th>\n",
       "      <th>FS</th>\n",
       "      <th>STD_FD</th>\n",
       "      <th>AVG_FD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙AR911W</td>\n",
       "      <td>0.809524</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.809524</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.630876</td>\n",
       "      <td>3.113023</td>\n",
       "      <td>6.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙AJ183G</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-1.105313</td>\n",
       "      <td>0.547723</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙A916KS</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>-1.348978</td>\n",
       "      <td>2.097060</td>\n",
       "      <td>3.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙A918CJ</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-0.232944</td>\n",
       "      <td>5.589105</td>\n",
       "      <td>5.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙AKB603</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>-0.341521</td>\n",
       "      <td>1.788854</td>\n",
       "      <td>3.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM        F1        F2        O1        D1        O2        D2  \\\n",
       "0  浙AR911W  0.809524  1.000000  0.857143  0.809524  0.666667  0.714286   \n",
       "1  浙AJ183G  0.047619  0.380952  0.095238  0.142857  0.047619  0.047619   \n",
       "2  浙A916KS  0.285714  1.000000  0.190476  0.142857  0.380952  0.333333   \n",
       "3  浙A918CJ  0.285714  0.619048  0.142857  0.142857  0.238095  0.142857   \n",
       "4  浙AKB603  0.333333  0.571429  0.428571  0.380952  0.285714  0.285714   \n",
       "\n",
       "         FS    STD_FD    AVG_FD  \n",
       "0  0.630876  3.113023  6.090909  \n",
       "1 -1.105313  0.547723  1.600000  \n",
       "2 -1.348978  2.097060  3.210526  \n",
       "3 -0.232944  5.589105  5.285714  \n",
       "4 -0.341521  1.788854  3.200000  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all = pd.read_csv(\"TotalSampleAfterProcessing.csv\" , encoding = 'gbk')\n",
    "df_all.drop(['Unnamed: 0'],axis = 1 , inplace = True)\n",
    "df_all.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>F1</th>\n",
       "      <th>F2</th>\n",
       "      <th>O1</th>\n",
       "      <th>D1</th>\n",
       "      <th>O2</th>\n",
       "      <th>D2</th>\n",
       "      <th>FS</th>\n",
       "      <th>STD_FD</th>\n",
       "      <th>AVG_FD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "      <td>114439.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.607008</td>\n",
       "      <td>0.862569</td>\n",
       "      <td>0.562411</td>\n",
       "      <td>0.551464</td>\n",
       "      <td>0.490893</td>\n",
       "      <td>0.514921</td>\n",
       "      <td>-0.433605</td>\n",
       "      <td>2.335454</td>\n",
       "      <td>3.875053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.203104</td>\n",
       "      <td>0.128583</td>\n",
       "      <td>0.196030</td>\n",
       "      <td>0.185402</td>\n",
       "      <td>0.194421</td>\n",
       "      <td>0.175037</td>\n",
       "      <td>1.049624</td>\n",
       "      <td>1.744383</td>\n",
       "      <td>2.120599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>-4.296570</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.476190</td>\n",
       "      <td>0.809524</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>-1.109816</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.904762</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>-0.347153</td>\n",
       "      <td>2.136976</td>\n",
       "      <td>3.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.761905</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.508219</td>\n",
       "      <td>3.444803</td>\n",
       "      <td>5.121324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.920949</td>\n",
       "      <td>11.181818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  F1             F2             O1             D1  \\\n",
       "count  114439.000000  114439.000000  114439.000000  114439.000000   \n",
       "mean        0.607008       0.862569       0.562411       0.551464   \n",
       "std         0.203104       0.128583       0.196030       0.185402   \n",
       "min         0.047619       0.333333       0.047619       0.047619   \n",
       "25%         0.476190       0.809524       0.428571       0.428571   \n",
       "50%         0.619048       0.904762       0.571429       0.523810   \n",
       "75%         0.761905       0.952381       0.714286       0.666667   \n",
       "max         1.000000       1.000000       1.000000       1.000000   \n",
       "\n",
       "                  O2             D2             FS         STD_FD  \\\n",
       "count  114439.000000  114439.000000  114439.000000  114439.000000   \n",
       "mean        0.490893       0.514921      -0.433605       2.335454   \n",
       "std         0.194421       0.175037       1.049624       1.744383   \n",
       "min         0.047619       0.238095      -4.296570       0.000000   \n",
       "25%         0.333333       0.380952      -1.109816       1.000000   \n",
       "50%         0.476190       0.523810      -0.347153       2.136976   \n",
       "75%         0.619048       0.619048       0.508219       3.444803   \n",
       "max         1.000000       1.000000       1.000000       8.920949   \n",
       "\n",
       "              AVG_FD  \n",
       "count  114439.000000  \n",
       "mean        3.875053  \n",
       "std         2.120599  \n",
       "min         0.000000  \n",
       "25%         2.400000  \n",
       "50%         3.666667  \n",
       "75%         5.121324  \n",
       "max        11.181818  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the statistical infomation\n",
    "df_com2 = pd.merge(df_all , df_com , how = 'inner' , on = ['CAR_NUM'])\n",
    "df_com2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>111945</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   count(*)\n",
       "0    111945"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\" select count(*) from df_com2 where CAR_NUM like '%浙A%'\"\"\"\n",
    "comnum = sqldf(sql, globals())\n",
    "comnum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   count(*)\n",
       "0      2494"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\" select count(*) from df_com2 where CAR_NUM not like '%浙A%'\"\"\"\n",
    "noncomnum = sqldf(sql, globals())\n",
    "noncomnum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the histogram, so that we can see the distribution of all the features.\n",
    "fig,((ax1, ax2, ax3), (ax4 ,ax5, ax6), (ax7, ax8 , ax9)) = plt.subplots(3, 3, sharex = False,figsize=(15, 15))\n",
    "# ax1 = plt.subplot(3, 3, 1,figsize=(10, 11))\n",
    "ax1.hist(x = df_com2[\"F1\"] , range = None)\n",
    "ax1.set_xlabel(r'$F_1$')\n",
    "# # ax2 = plt.subplot(3, 3, 2)\n",
    "ax2.hist(x = df_com2[\"F2\"] , range = None )\n",
    "ax2.set_xlabel(r'$F_2$')\n",
    "ax3.hist(x = df_com2[\"O1\"] , range = None )\n",
    "ax3.set_xlabel(r'$F_{O1}$')\n",
    "ax4.hist(x = df_com2[\"D1\"]  , range = None )\n",
    "ax4.set_xlabel(r'$F_{D1}$')\n",
    "ax5.hist(x = df_com2[\"O2\"]  , range = None)\n",
    "ax5.set_xlabel(r'$F_{O2}$')\n",
    "ax6.hist(x = df_com2[\"D2\"]  , range = None)\n",
    "ax6.set_xlabel(r'$F_{D2}$')\n",
    "ax7.hist(x = df_com2[\"FS\"]  , range = None)\n",
    "ax7.set_xlabel(r'$F_s$')\n",
    "ax8.hist(x = df_com2[\"STD_FD\"]  , range = None)\n",
    "ax8.set_xlabel(r'$\\sigma$')\n",
    "ax9.hist(x = df_com2[\"AVG_FD\"]   , range = None)\n",
    "ax9.set_xlabel('M')\n",
    "# plt.savefig('子样本车辆分布情况_new.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 所有其他车辆的features的描述性统计情况\n",
    "得到除了通勤车外的所有其他车辆的描述性统计情况，并将其与通勤车做对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "      <th>F1</th>\n",
       "      <th>F2</th>\n",
       "      <th>O1</th>\n",
       "      <th>D1</th>\n",
       "      <th>O2</th>\n",
       "      <th>D2</th>\n",
       "      <th>FS</th>\n",
       "      <th>STD_FD</th>\n",
       "      <th>AVG_FD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙AJ183G</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-1.105313</td>\n",
       "      <td>0.547723</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙A916KS</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>-1.348978</td>\n",
       "      <td>2.097060</td>\n",
       "      <td>3.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙A918CJ</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-0.232944</td>\n",
       "      <td>5.589105</td>\n",
       "      <td>5.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙A711B6</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-1.236600</td>\n",
       "      <td>3.444198</td>\n",
       "      <td>5.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙A3PR53</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-1.853595</td>\n",
       "      <td>2.061553</td>\n",
       "      <td>3.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM        F1        F2        O1        D1        O2        D2  \\\n",
       "0  浙AJ183G  0.047619  0.380952  0.095238  0.142857  0.047619  0.047619   \n",
       "1  浙A916KS  0.285714  1.000000  0.190476  0.142857  0.380952  0.333333   \n",
       "2  浙A918CJ  0.285714  0.619048  0.142857  0.142857  0.238095  0.142857   \n",
       "3  浙A711B6  0.380952  0.952381  0.238095  0.047619  0.285714  0.142857   \n",
       "4  浙A3PR53  0.047619  0.333333  0.047619  0.047619  0.047619  0.047619   \n",
       "\n",
       "         FS    STD_FD    AVG_FD  \n",
       "0 -1.105313  0.547723  1.600000  \n",
       "1 -1.348978  2.097060  3.210526  \n",
       "2 -0.232944  5.589105  5.285714  \n",
       "3 -1.236600  3.444198  5.437500  \n",
       "4 -1.853595  2.061553  3.750000  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"select * from df_all where CAR_NUM not in (select CAR_NUM from df_com)\"\"\"\n",
    "df_noncom = sqldf(sql, globals())\n",
    "df_noncom.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>F1</th>\n",
       "      <th>F2</th>\n",
       "      <th>O1</th>\n",
       "      <th>D1</th>\n",
       "      <th>O2</th>\n",
       "      <th>D2</th>\n",
       "      <th>FS</th>\n",
       "      <th>STD_FD</th>\n",
       "      <th>AVG_FD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "      <td>347849.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.157896</td>\n",
       "      <td>0.516672</td>\n",
       "      <td>0.158728</td>\n",
       "      <td>0.137048</td>\n",
       "      <td>0.124443</td>\n",
       "      <td>0.132144</td>\n",
       "      <td>-1.145898</td>\n",
       "      <td>2.639541</td>\n",
       "      <td>4.220160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.149599</td>\n",
       "      <td>0.270835</td>\n",
       "      <td>0.157605</td>\n",
       "      <td>0.140965</td>\n",
       "      <td>0.110306</td>\n",
       "      <td>0.110577</td>\n",
       "      <td>1.040528</td>\n",
       "      <td>2.008739</td>\n",
       "      <td>2.391614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-4.298697</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-1.678605</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>-1.098500</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-0.577242</td>\n",
       "      <td>3.954284</td>\n",
       "      <td>5.727273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.927486</td>\n",
       "      <td>11.181818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  F1             F2             O1             D1  \\\n",
       "count  347849.000000  347849.000000  347849.000000  347849.000000   \n",
       "mean        0.157896       0.516672       0.158728       0.137048   \n",
       "std         0.149599       0.270835       0.157605       0.140965   \n",
       "min         0.047619       0.047619       0.047619       0.047619   \n",
       "25%         0.047619       0.285714       0.047619       0.047619   \n",
       "50%         0.095238       0.523810       0.095238       0.095238   \n",
       "75%         0.190476       0.761905       0.190476       0.142857   \n",
       "max         1.000000       1.000000       1.000000       1.000000   \n",
       "\n",
       "                  O2             D2             FS         STD_FD  \\\n",
       "count  347849.000000  347849.000000  347849.000000  347849.000000   \n",
       "mean        0.124443       0.132144      -1.145898       2.639541   \n",
       "std         0.110306       0.110577       1.040528       2.008739   \n",
       "min         0.047619       0.047619      -4.298697       0.000000   \n",
       "25%         0.047619       0.047619      -1.678605       1.000000   \n",
       "50%         0.095238       0.095238      -1.098500       2.500000   \n",
       "75%         0.142857       0.142857      -0.577242       3.954284   \n",
       "max         1.000000       0.571429       1.000000       8.927486   \n",
       "\n",
       "              AVG_FD  \n",
       "count  347849.000000  \n",
       "mean        4.220160  \n",
       "std         2.391614  \n",
       "min         0.000000  \n",
       "25%         2.500000  \n",
       "50%         4.000000  \n",
       "75%         5.727273  \n",
       "max        11.181818  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_noncom.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# $\\alpha$分别取3%,3.5%,4%时最终识别出的通勤车异同分析,并绘制韦恩图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "database connected\n",
      "database close\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙A837YS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙AR911W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙AKB603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙A0PG35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙A739B1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM\n",
       "0  浙A837YS\n",
       "1  浙AR911W\n",
       "2  浙AKB603\n",
       "3  浙A0PG35\n",
       "4  浙A739B1"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#该函数用来得到oracle中的通勤车的各个features.\n",
    "db = oracle.connect('')    # connect oracle database\n",
    "print(\"database connected\")\n",
    "cursor = db.cursor()    # create cursor\n",
    "cursor.execute('''\n",
    "                select *\n",
    "                from COMMUTINGVEHICLE\n",
    "                ''')    # execute sql \n",
    "data = cursor.fetchall()    # fetch data\n",
    "df_com = pd.DataFrame(data)\n",
    "#change columns' name\n",
    "df_com.rename(columns={0:'CAR_NUM'}, inplace = True)\n",
    "\n",
    "#print(df)\n",
    "cursor.close()   #close the curse\n",
    "db.close()   #close the database\n",
    "print(\"database close\")\n",
    "df_com.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "      <th>F1</th>\n",
       "      <th>F2</th>\n",
       "      <th>O1</th>\n",
       "      <th>D1</th>\n",
       "      <th>O2</th>\n",
       "      <th>D2</th>\n",
       "      <th>FS</th>\n",
       "      <th>STD_FD</th>\n",
       "      <th>AVG_FD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙AR911W</td>\n",
       "      <td>0.809524</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.809524</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.630876</td>\n",
       "      <td>3.113023</td>\n",
       "      <td>6.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙AJ183G</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>-1.105313</td>\n",
       "      <td>0.547723</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙A916KS</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>-1.348978</td>\n",
       "      <td>2.097060</td>\n",
       "      <td>3.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙A918CJ</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-0.232944</td>\n",
       "      <td>5.589105</td>\n",
       "      <td>5.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙AKB603</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>-0.341521</td>\n",
       "      <td>1.788854</td>\n",
       "      <td>3.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM        F1        F2        O1        D1        O2        D2  \\\n",
       "0  浙AR911W  0.809524  1.000000  0.857143  0.809524  0.666667  0.714286   \n",
       "1  浙AJ183G  0.047619  0.380952  0.095238  0.142857  0.047619  0.047619   \n",
       "2  浙A916KS  0.285714  1.000000  0.190476  0.142857  0.380952  0.333333   \n",
       "3  浙A918CJ  0.285714  0.619048  0.142857  0.142857  0.238095  0.142857   \n",
       "4  浙AKB603  0.333333  0.571429  0.428571  0.380952  0.285714  0.285714   \n",
       "\n",
       "         FS    STD_FD    AVG_FD  \n",
       "0  0.630876  3.113023  6.090909  \n",
       "1 -1.105313  0.547723  1.600000  \n",
       "2 -1.348978  2.097060  3.210526  \n",
       "3 -0.232944  5.589105  5.285714  \n",
       "4 -0.341521  1.788854  3.200000  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all = pd.read_csv(\"TotalSampleAfterProcessing.csv\" , encoding = 'gbk')\n",
    "df_all.drop(['Unnamed: 0'],axis = 1 , inplace = True)\n",
    "df_all.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114439"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the statistical infomation\n",
    "df_com = pd.merge(df_all , df_com , how = 'inner' , on = ['CAR_NUM'])\n",
    "len(df_com)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "database connected\n",
      "database close\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙A789NT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙AN887K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙A082JU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙AN080P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙A5NK25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM\n",
       "0  浙A789NT\n",
       "1  浙AN887K\n",
       "2  浙A082JU\n",
       "3  浙AN080P\n",
       "4  浙A5NK25"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#该函数用来得到oracle中的通勤车的各个features.\n",
    "db = oracle.connect('')    # connect oracle database\n",
    "print(\"database connected\")\n",
    "cursor = db.cursor()    # create cursor\n",
    "cursor.execute('''\n",
    "                select *\n",
    "                from COMMUTINGVEHICLE_3\n",
    "                ''')    # execute sql \n",
    "data = cursor.fetchall()    # fetch data\n",
    "df_com_3 = pd.DataFrame(data)\n",
    "#change columns' name\n",
    "df_com_3.rename(columns={0:'CAR_NUM'}, inplace = True)\n",
    "\n",
    "#print(df)\n",
    "cursor.close()   #close the curse\n",
    "db.close()   #close the database\n",
    "print(\"database close\")\n",
    "df_com_3.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "122192"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the statistical infomation\n",
    "df_com_3 = pd.merge(df_all , df_com_3 , how = 'inner' , on = ['CAR_NUM'])\n",
    "len(df_com_3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "database connected\n",
      "database close\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CAR_NUM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>浙AT1593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙A510K7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>浙A206T5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>浙ACR870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>浙ATC230</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CAR_NUM\n",
       "0  浙AT1593\n",
       "1  浙A510K7\n",
       "2  浙A206T5\n",
       "3  浙ACR870\n",
       "4  浙ATC230"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#该函数用来得到oracle中的通勤车的各个features.\n",
    "db = oracle.connect('')    # connect oracle database\n",
    "print(\"database connected\")\n",
    "cursor = db.cursor()    # create cursor\n",
    "cursor.execute('''\n",
    "                select *\n",
    "                from COMMUTINGVEHICLE_4\n",
    "                ''')    # execute sql \n",
    "data = cursor.fetchall()    # fetch data\n",
    "df_com_4 = pd.DataFrame(data)\n",
    "#change columns' name\n",
    "df_com_4.rename(columns={0:'CAR_NUM'}, inplace = True)\n",
    "\n",
    "#print(df)\n",
    "cursor.close()   #close the curse\n",
    "db.close()   #close the database\n",
    "print(\"database close\")\n",
    "df_com_4.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63116"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the statistical infomation\n",
    "df_com_4 = pd.merge(df_all , df_com_4 , how = 'inner' , on = ['CAR_NUM'])\n",
    "len(df_com_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "103929"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(df_com['CAR_NUM']) & set(df_com_3['CAR_NUM']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57842"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(df_com_4['CAR_NUM']) & set(df_com_3['CAR_NUM']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57397"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(df_com_4['CAR_NUM']) & set(df_com['CAR_NUM']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56054"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(df_com_4['CAR_NUM']) & set(df_com['CAR_NUM']) & set(df_com_3['CAR_NUM']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**韦恩图绘制**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from matplotlib_venn import venn3\n",
    "from matplotlib_venn import venn3_circles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3000x3000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.dpi'] = 300 #分辨率\n",
    "my_dpi=500\n",
    "plt.figure(figsize=(6 , 6), dpi=my_dpi)\n",
    "v = venn3(subsets = (16475 , 9167 , 47875 , 3931 , 1788 , 1343 , 56054) , \n",
    "      set_labels = (r'$\\alpha = 3\\%$', r'$\\alpha = 3.5\\%$', r'$\\alpha = 4\\%$'))\n",
    "\n",
    "c=venn3_circles(subsets = (16475 , 9167 , 47875 , 3931 , 1788 , 1343 , 56054), linestyle='dashed', linewidth=1, color=\"grey\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
